使用连续分段求和算子的熵稳定高阶离散化

Jason E. Hicken
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引用次数: 3

摘要

我们提出了使用连续解空间的线性平流和欧拉方程的分部求和离散化方法。这些连续的SBP离散化从单元算子集合了全局算子,它们是连续Galerkin有限元方法的SBP模拟或推广。因此,需要一种稳定方法来抑制高频振荡并确保最优收敛速率。所提出的镇定是局部投影镇定的一种形式,它导致线性平流方程的能量稳定离散化和欧拉方程的熵稳定离散化。此外,稳定是单元局部的,使模板保持紧凑,并且稳定的离散化具有良好的时间步长限制。结果证明了连续SBP离散化的准确性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Entropy-Stable, High-Order Discretizations Using Continuous Summation-By-Parts Operators
We present summation-by-parts (SBP) discretizations of the linear advection and Euler equations that use a continuous solution space. These continuous SBP discretizations assemble global operators from element operators, and they are the SBP analog, or generalization, of continuous Galerkin finite-element methods. Consequently, a stabilization method is needed to suppress high-frequency oscillations and ensure optimal convergence rates. The proposed stabilization, which is a form of local-projection stabilization, leads to energy-stable discretizations of the linear advection equation and entropy-stable discretizations of the Euler equations. Furthermore, the stabilization is element local, which keeps the stencil compact, and the stabilized discretizations have favorable time-step restrictions. Results are provided to demonstrate the accuracy and efficiency of the continuous SBP discretizations.
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